AI-Generated Health Messages for Outpatient Care
(AI-CARE Trial)
Trial Summary
What is the purpose of this trial?
This study investigates the use of Generative AI (GAI) to support primary care practices in delivering accurate, accessible patient education. With the rise of health misinformation, increasingly complex patient needs, and a strained healthcare workforce, primary care must find new ways to communicate trusted health information effectively. Leveraging the Canadian Primary Care Information Network (CPIN), this study will generate patient education messages on key health topics using both GAI and human content experts.Diverse review panels of patients and providers will assess the messages on quality of information, adaptability, and relevance and usefulness, with special attention to socioeconomic factors that may impact message accessibility. CPIN will recruit a diverse sample of participants to evaluate both GAI- and human-generated messages. Review panels will provide structured feedback via surveys, aiming to identify differences in content quality and effectiveness.The study's goal is to determine whether GAI can produce high-quality health information that meets primary care standards. Results will reveal how GAI tools can support primary care in reducing misinformation and administrative burdens, fostering patient-provider relationships, and improving health equity. Findings will inform best practices for integrating GAI in primary care to ensure accessible, timely patient education across Canada.
Research Team
William Hogg, MD, MSc
Principal Investigator
Institut du Savoir Montfort
Sharon Johnston, MD, LLM
Principal Investigator
Institut du Savoir Montfort
Eligibility Criteria
This trial is for individuals who can visit outpatient clinics and are interested in evaluating health promotional messages. Participants will be involved in reviewing the quality of information provided by both AI-generated and human-created health messages.Inclusion Criteria
Exclusion Criteria
Timeline
Screening
Participants are screened for eligibility to participate in the trial
Content Generation and Evaluation
Generative AI and human experts create patient education messages. Review panels assess the messages on quality, adaptability, and relevance.
Follow-up
Participants are monitored for feedback on message effectiveness and quality
Treatment Details
Interventions
- Health promotional messages generated by Artificial Intelligence
Find a Clinic Near You
Who Is Running the Clinical Trial?
Hopital Montfort
Lead Sponsor
Cheo Research Institute
Collaborator
CHEO Research Institute
Collaborator
Eastern Ontario Health Unit
Collaborator